---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusic200
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# hubert2BertMusic200

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1568
- Rouge1: 41.9485
- Rouge2: 16.0177
- Rougel: 28.1569
- Rougelsum: 28.2146
- Gen Len: 32.53

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 3.1808        | 1.0   | 983  | 2.5483          | 44.2196 | 17.3838 | 29.8836 | 29.9101   | 32.93   |
| 2.7237        | 2.0   | 1966 | 2.4003          | 47.3213 | 18.6129 | 30.9017 | 30.981    | 38.4    |
| 2.6101        | 3.0   | 2949 | 2.3362          | 42.6501 | 16.7451 | 28.8455 | 28.9107   | 34.81   |
| 2.5294        | 4.0   | 3932 | 2.2842          | 41.8623 | 16.4242 | 28.7097 | 28.7267   | 34.84   |
| 2.5019        | 5.0   | 4915 | 2.2421          | 41.5838 | 17.0684 | 28.534  | 28.5982   | 35.7    |
| 2.4511        | 6.0   | 5898 | 2.2094          | 41.6459 | 16.4044 | 27.8617 | 27.9134   | 31.17   |
| 2.4406        | 7.0   | 6881 | 2.1854          | 42.6733 | 16.4912 | 28.6327 | 28.7019   | 33.08   |
| 2.4249        | 8.0   | 7864 | 2.1695          | 42.0305 | 16.279  | 28.1039 | 28.1835   | 32.91   |
| 2.4041        | 9.0   | 8847 | 2.1623          | 41.0736 | 15.3285 | 27.9246 | 27.985    | 30.66   |
| 2.4212        | 10.0  | 9830 | 2.1568          | 41.9485 | 16.0177 | 28.1569 | 28.2146   | 32.53   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3